Decentralized charging coordination of large-scale plug-in electric vehicles in power systems /

Saved in:
Bibliographic Details
Author / Creator:Ma, Zhongjing, 1975- author.
Imprint:Singapore : Springer, [2020]
Description:1 online resource (xxi, 238 pages) : illustrations (some color)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12609704
Hidden Bibliographic Details
ISBN:9789811376528
9811376522
9789811376511
9811376514
9789811376511
9789811376535
9811376530
9789811376542
9811376549
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed April 22, 2019).
Summary:This book focuses on the design of decentralized optimization methods applied to charging strategies for large-scale PEVs in electrical power systems. It studies several classes of charging coordination problems in large-scale PEVs by considering the distinct characteristics of PEV populations and electrical power systems, and subsequently designs decentralized methods based on distinct optimization schemes - such as non-cooperative games, mean-field games, and auction games - to achieve optimal/nearly optimal charging strategies. In closing, several performance aspects of the proposed algorithms, such as their convergence, computational complexity and optimality etc., are rigorously verified and demonstrated in numerical simulations. Given its scope, the book will benefit researchers, engineers, and graduate students in the fields of optimization, game theory, auction games, electrical power systems, etc., and help them design decentralized methods to implement optimal charging strategies in large-scale PEVs.
Other form:Printed edition: 9789811376511
Printed edition: 9789811376535
Printed edition: 9789811376542
Standard no.:10.1007/978-981-13-7652-8